Abstract
OCHRE’s item-based approach begins by breaking data down into its granular parts—the most minimal meaningful parts to be identified and studied. From these components, any number of appropriate data structures and configurations can be assembled as determined by the nature of the data itself or by the goals of the researcher. Having building blocks to work with as the primary structural units of a computational platform creates more flexibility in design, more potential for customization, and more options for fitting in with other structures. This process of itemization (or atomization) begs the question How far is far enough? But whether constructing a composite view or a compelling argument, this chapter sets the foundation for the ensuing discussion that seeks to demonstrate how an item-based approach proves to be particularly useful and flexible for addressing research questions.
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Notes
- 1.
Sears, Roebuck & Co. catalog, Model No. P3287, http://www.sears-homes.com/2013/10/a-sears-home-in-homewood.html.
- 2.
- 3.
The CHOIR ontology was introduced in Chap. 2.
- 4.
We return to the idea of properties throughout the book. See Chap. 5 on how properties are implemented in OCHRE’s item-based database model.
- 5.
- 6.
See the section on Internationalization (Chap. 5) for a serendipitous use of Aliases.
- 7.
M. Prosser, acting object photographer at Zincirli in 2013, produced a Polynomial Texture Mapping (PTM) image of this small object that allowed the project codirector Herrmann to identify the writing.
- 8.
S. Schloen, acting registrar at Zincirli that summer of 2010, is undeniably guilty of missing the importance of this special find.
- 9.
See also Schloen and Schloen (2012, chapter 2).
- 10.
As of this writing, OCHRE is managing well over 100 terabytes of Resource data for over 80 projects.
- 11.
- 12.
- 13.
See also, for example, Chap. 12, where we struggle to decide whether the Mint at Athens is a Location or an Organization item. OCHRE addresses this in part by allowing geospatial metadata (e.g., coordinates) on Person/Organization items.
- 14.
SGML, the Standard Generalized Markup Language, was a more generalized markup format that preceded HTML which, in turn, was the predecessor of XML.
- 15.
KTMW, lines 10–13: “He is also to perform the slaughter (prescribed above) in (proximity to) my ‘soul’ and is to apportion for me a leg-cut.”
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Schloen, S.R., Prosser, M.C. (2023). OCHRE: An Item-Based Approach. In: Database Computing for Scholarly Research. Quantitative Methods in the Humanities and Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-46696-0_3
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